Sandvik Group faces a challenge in unifying their data. Using the Databricks Data + AI Platform, Sandvik has made strides in breaking down data silos, enhancing productivity and accelerating AI-driven innovation.
Reported impact
Reported outcomes include As a high-tech engineering company with clients in manufacturing, mining and infrastructure, and 41,000 employees spread across 170 countries, Sandvik knows all about those benefits and challenges.
Sandvik Group faces a challenge in unifying their data. With an ambition to drive AI innovation, Sandvik sought to improve operational efficiency and provide better solutions for their customers in complex sectors like mining and manufacturing. Using the Databricks Data + AI Platform, Sandvik has made strides in breaking down data silos, enhancing productivity and accelerating AI-driven innovation. While scale certainly has its benefits, it also comes with its own set of challenges. As a high-tech engineering company with clients in manufacturing, mining and infrastructure, and 41,000 employees spread across 170 countries, Sandvik knows all about those benefits and challenges. Being a manufacturer with thousands of products being delivered to different customers all over the world, Sandvik has leaned heavily into machine learning to know what product they are going to make, where they are going to make it and to what country the product will be exported.
Source system and event data lands in Databricks, is transformed in Delta Lake tables under Unity Catalog governance, with pipelines coordinated through Databricks orchestration and transformation services.
As a high-tech engineering company with clients in manufacturing, mining and infrastructure, and 41,000 employees spread across 170 countries, Sandvik knows all about those benefits and challenges
Sandvik Group faces a challenge in unifying their data.
Using the Databricks Data + AI Platform, Sandvik has made strides in breaking down data silos, enhancing productivity and accelerating AI-driven innovation.
While scale certainly has its benefits, it also comes with its own set of challenges.
With an ambition to drive AI innovation, Sandvik sought to improve operational efficiency and provide better solutions for their customers in complex sectors like mining and manufacturing.
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